{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import driveanon as da\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### get the list of h5 files stored on google drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the blob id from the url to the google drive folder containing files of interest\n",
    "folder_blob_id = '1THsNcNmUR_wVWL-2EM16OSnUOAGqXVbC'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use driveanon to get the list of files and matching blob ids\n",
    "hf5_file_names, hf5_blobs = da.list_blobs(folder_blob_id ,extension='.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('processed_ATL06_20181014055428_02380111_001_01.h5',\n",
       "  '13ehvYR3Nf9V9x1w7c4z4c1DFVINoug83'),\n",
       " ('processed_ATL06_20181014165430_02450111_001_01.h5',\n",
       "  '1MSK-P7fktdpUNnnnon3Vb2ofF7jpiXn1'),\n",
       " ('processed_ATL06_20181015052849_02530111_001_01.h5',\n",
       "  '1OWelCesSox0w5_IhMtZEuiDePPJF1WFC')]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort them alphabetically for convenience. \n",
    "hf5_files_blobs = sorted(list(zip(hf5_file_names,hf5_blobs)))\n",
    "\n",
    "# look at the first three\n",
    "hf5_files_blobs[0:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### open and plot a single file with xarray from url via driveanon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use xarray and driveanon to open athe first h5 file from the remote url directly\n",
    "ds = xr.open_dataset(da.open(hf5_files_blobs[0][1]),group='/gt3r/land_ice_segments')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4xznJH1s8weGjHXkULETkChFZBBzlztyOPVYB3V0bqqBd5rPiZTa2V/V2cs9fs4XfvrDCmqdMUbv35VVJaRUlPrx8gGfPce9xLqTqRZ2GM1v6ZpxVZ2Na4mZXl6QRQ/pTU11Bc1zV0NuPkQnxm5zMW/0RX7/7FTo6oLJceHjyp23lTVOUmncl3zVff97xEeTExEu1B/dWVV3tzsQ+DPicqq4BykQkeZPqElORoVudgSmGyMZvcvLYgnW0dzjjl1vb1fozTMno3aO8pJugANY370p5nAtdmcFdRYnM4E4lUxvIH5dii8T4Pgvv+lHWn2FKhc3chuZdiR3+H+ZTn0Wckp7BHcS7Q15Xd8xbEtEWicaYwrG7NXGTtd17O3Led2kzuLuoqty7s13XlvxINRoqvoP7vY92JpzzHhtjilfPyuTa1b/cOzeneQgzTdg7g3sS8PvsZiv/efss9oZZy7yT4ju4N21L3FrSe2xMITu8YYbv6ssAbbbsBxefMoQ7ZydustayJzNbOocVZonyX4nIGGAb+2dwz8p6zvJcTXVVQj/Cjj3tTJu7NqMdcfEd3Af368lHO/cmHBtTyI778TNsb03/hdfanvkbsULTMPZo7p69MiGgVnaxNaOrQg3pcYPDz4CbgPkiMiCruSoAk05LHhD22xeWZ/Q94juxDxuQuNig99iYQjK0YUaoQAHQv1fpLvMRb2R94lD5Ew6ryen7hxkNdZmIbMKZiDcPmO/+LGkXjRqc1E+xZWf3FhQ0phSMv32O7xI3Qb595rCs5aWQbdqW2xGRYWoW3weOVdV6VT1cVYeqauku0hKnl2dIX1c7uYPYMuWmGC1c17kRgKU+xyJm2aaWhOM1H+0MXBolG8IEi3cBG3rjQyX1cXcdm2IOhjGFqLPDPcPsVFkqWn2G5099fBH1DTMY3fh81t8/TLC4Gvi7iNwlIr+OPbKdsUKwu7Uj5XF3LbY5GKbIfP2uV3zTbzr/eFY3juOm84/fV0Ovq+nJnIazcpm9vHb2sQcHnlvXvDvrASPM0Nm7gP8DFkHg6DYDdGjnR22kWhAs1Sxtm2dhCs2U6Qto8xliPrzugH1NTReNGmzNTgFum3ACTy7cENjfs645u8Ppw9Qs2lT1SlW9T1UfiD3SPUlE7hWRD0RkcVzaT0RkvYgsdB9j485dLSIrRGSZiJwdlz5CRBa5534t0s0NrzOoutIz16JdO13NPvKgPoHn4vssvP0XS99vyWl7pTHd9cTCDf7p3xmd45wUrrIIV98N89YviMhkETlERAbEHiGedz9wjk/6f6nqcPcxE0BEjgEmAMe6z/mdiMR6j+8AJgPD3Iffa0ZiYN/k9tRrH1/UqddYlKKzL77P4ssn1iWd//PrFixMYfj4NTN902vzYAe4QtKRom2nV1V2I0mYV78It98CZ9hsqKGzqjobCLuU+XnAdFXdo6qrgBXAySJyCNBPVV9xlxx5EBgf8jWzzm+uxfIPWnyuDPZBS3DVMb7PYsSQ/hxZm7jSSo9SX+TfFIQp0xcETqx7/Vq/vdVMkANSzDnp3yu7gTfMHtxDfR7dGTr7HXcTpXtFJDbLZBDwXtw169y0Qe7v3nRfbg1onojMa2pq6kYWw7lo1OBwsxpT6NMj+D/f22cx+MDEiXg1Wf5wGJMJT73p3/x00/m2R0Vn/eDsTwSe29C8m2lz12Ztg7RUO+WdmO7JYa7xuAM4AhgObARuib2Uz7WaIt2Xqt6tqiNVdWRtbW0ns9Y15Z65FZ3tUqmsCL7e209RIVaTMIXHb9m06ooy68jugotGDWbQAf7DiRW49olF/PLZZVx496sZDxipvn3uE5H+8f0U3gdwT2feTFU3qWq7qnbgLEZ4sntqHc4GSzF1wAY3vc4nPW+1d2JBwflrtvDM4vcDzyfNs8ibrn1jumfpDedGnYWCtacteJmU2NdPa3sHj2V4g7RUweIA9vdRBD06tb6F2wcRcz4QGyn1FDBBRHq4u/ANA15T1Y1Ai4ic4o6Cmgg82Zn3zLYyT02iQ4M3nPd67I11vnddMS8s+6A7WTMmcn5/Cz1yvABesdm8I9zXbqrtD7oicJ6FqtZ354VF5GHgDGCgiKwDrgPOEJHhODWm1cBl7nstEZFHgLeBNuDbqhoLn1fgjKyqxtkT/Onu5CvTavtUJY1v/u0Ly0NVsb3/mbV9qmjavn8l2//7xwfMX7PF9to2Bet3PotrfjLHC+CVquadmd1NL8ykvC5x9+72Cmy2UtUbgRt90ucBx2Uwaxn1b2cOY6pnuOzm7V37Txo6sDcf7mjdV9vo6FBeXfmhBQtTcI64egZBK4s3nHt0bjNTZKorytgVYo+Pzo7MTMd6TLvJb0RUa8jNWvwi/yWfHrLvdyX7w+GMybT6huBAUS7YzU83Lb3hXKpDDJvfuqsto+9rwSIDvKFBCddv8ZFn0/WPdrSya2/iq9n6UKaQ1DfMSHne9jHKjKU3nMvqxnH0rEzxFZ7hsg6zn0XS6lR+aSaRt2nKj3ddqAG9q5ICSKr1oYzJJ+kChcm8thTRd0CGZ8enmmfR0x0eO9AzhLYeODSjuShwwzwzq2OOnJr6j8c7qa6mV1XS3IrY8V/e2sDSjdu6kUtjsidsoAj6WzFdc+oRBwaeu3LMURl9r1Q1i8twhsd+gsThsk8Cv81oLgrcrKvO8E1v64DGmUs79VreuRXHHnoA89ds4d8fXsB7W3Z1NYvGZE1nAkXQ34rpmgcvHUVNtf84pUxPekw1dPa/gf8Wke+q6m8y+q5F6Kbzj/dterrv5VU0jA0/+sPbR7F4w1aWbNiacj6GMVE57sfPpDy/unFcjnJSuhZed3ZOmgDDrA31GxE5VUQuEpGJsUfWc1ZgLho12DfC70nRpugdDdW8szWpj2Jzy57AfqpMj6M2pjMaZy5le6v/bOJhtb0tUBSZMB3cfwR+BYwGTnIfI7Ocr4K08Lqzk9JSjXDzGw3l12dxXMD2quubrVnKROfO2St90625Kff6VJWnPM6EMENnRwKnqeq/qep33ce/ZzwnRWL88MS+/7aO4GG0A3olj4by67PYElCD2NC8OyurSxqTzuEBzR5lBPfhmeyZOu6YlMeZEGYG92LgYzirxJo0evVILtJbZy3z7Wzq42m2qulV5dtnEVSzUODRN9bZJCeTdUMbZoQatr/Smp4iEft+eXrxRs497pCsrOgbGCxE5H9xvo/6Am+LyGvAvgZ1Vf1SxnNTBPyWSNsWMJPSb4y0X5/FkhQT8za37KFx5lKeWfI+5xz7sU51phuTzvw1W/jKHX8Pda23Vm1yK9v7l6eqWfwqa+9axL58Yh0PeZqdBvT23+Ao1YSaeKmueuu9Zp57exOwvw3ZAobJhM4Eiqpy4bYJJ2Q5RyZKqYbOvpTLjBSLEUP6M7BvFZtb9vczlJf5L8m8YWu4DuqgZiiATZ6ayENz11iwMBkRNlAAvHPj2CzmxOSDtH0WItJC8s3tVpx9uK9SVf8hESWsR0XiSITmXcnrz0+bu5bVH+5MSBvYt0dSM1Zt3x6BHdzgNHvF/+fY2jsmE066YVao66orymwjoxIRpoP7Vpzd6abhfDdNwOnwXgbci7NnhYkz6ICerI+bbb1jTzuNM5cm3PHf+/KqpOd95cQ6lr2fuKxw0m55Hr2qyhPGutd79uk2piuaApbZv+n842071BIVZujsOap6l6q2qOo2Vb0bGKuqfwZsGI6PYQf3TUp7aO6ahOPNLYkbJvWpKmfEkP6+o6EWrW8OfK8Kz65jfXxGYxnTGeNvn+ObboGitIUJFh0icoGIlLmPC+LOWaOHjy+fWJeUttuzx0Wrp70odtZvNFSqfb13embQrt+6O+BKY8JZuC559F1lWebXGjKFJUyw+AZwMfABsMn9/Z9FpBr4ThbzVrBGDOlPT8/U7cpyz3GFpDyOd+RBfQLPefsoRC1+m64LmkA6/bJTc5wTk2/Stlm4Hdj/FHDav75q6FVVnlCb8AaPPlUVbN3ZlnAc5O0NwUuTV5UJu+JqHuVltp+V6brrnlrsm24TP02qSXk/UNVfiMhv8GlusiU/Utu2O3EE1FbPiKhBNdWsb96dcBykLUUzlHgqJGs+2sn8NVvsj9t02vw1W9jrM5zu9GEDI8iNyTepbkNjGzHMI3E/i9gjJRG5V0Q+EJHFcWm/FJF/iMhbIvK4iNS46fUisktEFrqPO+OeM0JEFonIChH5tYj36zE/lXmy2a4krOPkt/GRn+adrQxJMcLJbw7Ho2+s60xWjQHgqwHzKh68dFSOc2LyUWCwUNX/dX8+oKoPAP8v9rt7nM79wDmetFnAcar6SeAd4Oq4c++q6nD3cXlc+h3AZGCY+/C+Zl46yLN6LMCdL7277/egrgXvqrPz1mxh+abtnXrvgoimJq9Mmb7Ad7RKbYa35jSFK8wS5Z8Wkbdxaxoi8ikR+V2656nqbOAjT9pzqhprqH8VSB42lPjehwD9VPUVVVXgQWB8uvfOB/925rCktAVr99cs2rUj6Tw4I6niv+w7FP7xfnCfRcue5P0E0s3NMMbriYUbfNNfv3ZMjnNi8lWY3tDbgLOBDwFU9U3g9Ay89yTg6bjjoSKyQEReEpHPuGmDgPg2lXVumi8RmSwi80RkXlNTUway2HUXjRqctJdFy+79HdpBw2FHDOmf1N+w9qPO7VvhnathTCpjbnnRN314nd10mP1CDZ1R1fc8Sf7bY4UkItcAbcBDbtJGYLCqngBcCUwTkX74t6gE9vaq6t2qOlJVR9bW1nYnixnh7V7ZEzc6qm/PxMUFB8Y1P/UP6L8IyztXw5ggjTOXsrxph++5J74zOse5MfksTLB4T0ROBVREqkTk++zv/O40EbkE+CLwDbdpCVXdo6qxmst84F3g4zg1ifimqjqcpUcKgt/Iko9fMxOAHp55F/GLBabqwj+pPv0oJ2+/hzF+pkxfELjbnY2AMl5hgsXlwLfZ3yQ03D3uNBE5B/gh8CVV3RmXXisi5e7vh+N0ZK9U1Y1Ai4ic4o6Cmgg82ZX3zhet7cqU6Qt4bMH6hPT4PStS7a19/gl1KbdqBeuzMOk1zlwa2E8BNgLKJAszKW8zzizuThGRh3EWGRwoIuuA63BGP/UAZrlNNK+6I59OB64XkTacJq7LVTXWOX4Fzsiqapw+jvh+jrw2rLa3bxX/qTc3JLWlxR979+aOt2TDVrd5K3juhfVZmHSCahQAq223O+MjzBLltcC3gPr461V1UqrnqeqFPsn3BFz7KPBowLl5wHHp8pmPZl11Boc3zMA77smvb/srcetJeZcGiffyis1p39f6LEwq9QH7Z4MFChMsTDPUk8ABwF+BGXEPE0LYPYnjR0B5Z3/He++jnUkT/owJywKF6aow61n3UtUfZj0nZp897f5zMMCZCd63sixhZJUxYRyeIlBcfvrhOcyJKURhahZ/ERHbM7Eb6mp6pjxfVR6+plAmMLBv6tczxmv87XOSmkNj+lSV21a8Jq3AYCEiLSKyDfgeTsDYJSLb4tJNSHMazgoMGELy/sV7U9QseleVM+m0oSnfz4bOGi+/PSrA+fwtvr4gVtAxEUu1NlRfVe3n/ixT1eq44365zGQxmNNwFqsbx7G6cRzjhx9KTa9Kxg8/lFU+7cTlElzh+8aoIVw0ajDVlcHX7NjTxsX3zA3cm8CUllT9FH6fP2P82B6cEbhtwgkpz18woi5waGOsuaA1Re0jNn7+b8udkVO2w1npsg5tkym2U04eCmo/ro6bjZciViS4d07weHpT3CxQmEyyYJGnvMstCLD0hnM7/Tq7bNRUSTri6uBAMay2dw5zYopFqGAhIqNF5Jvu77UikrqH1XTbg5eO4vRhA+lZWcbpwwYmtS2H/YPv18NaGkuRz7Jk+8y66oyc5cMUjzAzuK8DRgJHAfcBlcCfgNOymzWTan2eWVedwZhbXuTdzTvoWVnOzlb/hYA3bOvc8uam8E2ZvsA3vYzwk0SN8QpTszgf+BKwA0BVNwB9s5kpE86sq85g5c3jOP+EwC0+2LqzLWE7V1P8/vLWxqS0YbW9LVCYbgkTLFrdpcQVQESswTPP9E3T1BS/naspfm0+i49Z05PprjDB4hERuQuoEVSxywIAABoDSURBVJFv4awR9fvsZst0xpKNqedIrmrq3B7exhjjFWaJ8l+JyBhgG06/xY9VdVbWc2ZCO/e4Q/bNqfAzoHf3dt4zhWPiPXOT0mzIo8mEtJ8jd+TT31T1P1X1+8AcEanPdsZMeBeNGszg/tVRZ8PkAb+bhi8NPzSCnJhiE+am438gYQ2ydjfN5JGtKZY1T7WZkikufiNm060YYEwYYYJFharu+7Zxf7d2jTyzdVdb4LlUmymZ4tE4c2nUWTBFLMy3SJOIfCl2ICLnAem3azN5I9VmSqZ43P/K6qS03lXlOc+HKU5hpvdeDjwkIrfjrDrxHjAxq7kynVZTXUFzUO3CdtYrCbv3Ji/tcs24YyLIiSlGaWsWqvquqp4CHAMco6qnquqK7GfNdMbC684OPGdLfhS/oImXtuKwyZTAbxERuTIgHQBVvTVLeTJdVNuniqbtyZ3Z1gxV/CY/+HrUWTBFLlXNom+aR0oicq+IfCAii+PSBojILBFZ7v7sH3fuahFZISLLROTsuPQRIrLIPfdrEWtTCfL6tWOo7ZM89mB7a3DntykOH+5IviHwrlxsTHcE1ixU9afdfO37gduBB+PSGoDnVbVRRBrc4x+KyDHABOBY4FDgryLycVVtB+4AJgOvAjOBc4Cnu5m3ovX6tWP4/K0vseKD/bO2Y+tDjRjSP8UzTaEaf/sc3/RUC1Ea01lZG1OpqrOBjzzJ5wEPuL8/AIyPS5+uqntUdRWwAjhZRA4B+qnqK+76VA/GPccE8Nuj29aHKl5++2tXlVsF3GRWrgfgH6yqGwHcnwe56YNwRlnFrHPTBrm/e9N9ichkEZknIvOampoymvFCctGowQzoVZmQZutDFaeTbvBfeecnXzouxzkxxS5fZmv53QZpinRfqnq3qo5U1ZG1tbUZy1whGti3R8KxTcwrTn4DGsBGQZnM6/RoqJgujobaJCKHqOpGt4npAzd9HXBY3HV1wAY3vc4n3aTR4Vmmem/YTbtNwQjaY/um84/PcU5MKQgzGmokcAX7m4Uux5lz0RVPAZe4v18CPBmXPkFEergLFw4DXnObqlpE5BR3FNTEuOeYFLw1CatZFJeg5qfqijKrVZisSDsaSkSeA05U1Rb3+CeEWEhQRB4GzgAGisg64DqgEWd/jEuBtcDX3PdaIiKPAG8DbcC33ZFQ4ASq+4FqnFFQNhIqBG9NwmoWxWP+mi2BzU9Lbzg3x7kxpSLM1N7BQPwnsxWoT/ckVb0w4NRZAdffCNzokz4PsN66TrKaRfH66h1/9023eRUmm8IEiz8Cr4nI4zidy+eTOHfC5CGrWRSnKdMX+I7wKMPmVZjsCrNT3o0i8gww2k36pqouyG62THdZzaI4PbHQf3zHysZxOc6JKTVhV5hbCGyMXS8ig1V1bdZyZbrNahbFJ2i/iuF1B+Q4J6YUpQ0WIvJdnM7pTTi75AlOc9Qns5s10x3emsTe9sDpKaZA3DNnlW/6E98Z7ZtuTCaFqVl8DzhKVT/MdmZM5nhrEms+2mnrQxW4vR3JAd9qFSZXwjRkvwckLz5j8trhtX2S0h59Y53PlaYQjLnlRd90q1WYXAlTs1gJvCgiM4A9sUTbzyK/XfbZI3ju7U0JaSs2tUSUG9Ndy5t2JKX17WFbpprcCRMs1rqPKvdhCsCIIf0Z2KeKzXGTt9Y374owR6arps31H0ty/yQbKmtyJ8zQ2e7ua2Gi4lmGcY+NiCpIN/xliW+69T+ZXAozGqoW+AHOxkQ9Y+mq+rks5ssY49q5NznI22xtk2thmqEeAv4MfBFnEcFLgNLdLMKYHBjaMCN4LX5strbJvTCjoQ5U1XuAvar6kqpOAk7Jcr5MBtjEvMJUnyZQ9Kq02fgm98LULGI7wW8UkXE4+0nUpbje5Im9bYlfObtbLVjku6A9KuL98V/tXs3kXphblBtE5ADgKuD7wB+AKVnNlckI7z7Me9o6mL9mS0S5MelMvGdu2mtqqiusY9tEIm2wUNW/qOpWVV2sqmeq6gjgiBzkzXTTwL49k9Ian/ZfX8hEb/byzSnP1/apYuF1Z+coN8YkCruQoNeVwG2ZzIjJvEmnDWXq44sS0t56rzmi3JhURjc+75s+rLY3s646I7eZMcZHV3vKJP0lJmp+22vusQUF89K65t2+6RYoTL7oarCwb5wCFqYT1eRO0H7al59+eI5zYkywwGYoEWnBPygIzn7YpgD0rChjd1vyKKjDG2bQo6KMXe654XUH2KJ0EfHbT7sMaBh7dO4zY0yAwJqFqvZV1X4+j76q2tW+DpNjD33Lf5hlB+wLFAAL122lvmFG4AY7JjuOnOpfy/ufK07NcU6MSc1m9xS5EUP6U1MdPrbfOXulBYwcaZy5FJ9KH32qym14rMk7OQ8WInKUiCyMe2wTkSki8hMRWR+XPjbuOVeLyAoRWSYiNnawkxZed3bSnItU7nvZf0c2k1l3zl7pm774+nNynBNj0st5sFDVZao6XFWHAyOAncDj7un/ip1T1ZkAInIMMAFnIcNzgN+JiC3k30nv3Dg2/UUuGzGVfR+/ZqZvel1N8twYY/JB1M1QZwHvquqaFNecB0xX1T2qugpYAZyck9wVmdWN40Jd14lKiOmCKdMX0BoQkOc0nJXj3BgTTtQd1ROAh+OOvyMiE4F5wFWqugUYBLwad806Ny2JiEwGJgMMHpw8x8D4B4yjrn2aPXGN5xXlUd9DFLcn39zgm27Ljpt8Ftm3gohUAV8C/sdNugNnGZHhwEbgltilPk/3vS1T1btVdaSqjqytrc1wjotXZVliEataM1Q2+RVvudiy4ya/RXkLeS7whqpuAlDVTararqodwO/Z39S0Djgs7nl1OCvfmgypqkzsAmpt18CtPE33BJXruzeHayI0JipRBosLiWuCEpFD4s6dDyx2f38KmCAiPURkKDAMeC1nuSwBF4xIXnH+3jn+I3VM99z212VJaQd0YmizMVGJJFiISC9gDPBYXPIvRGSRiLwFnAn8B4CqLgEeAd4GngG+rartOc5yUWsYezQVnk/CiqYdjLnlxUjyU8w2+8zW/uE5NlPb5L9IbmlUdSdwoCft4hTX3wjcmO18lTK/yWHL3YBhi9llTodPf4Xfgo/G5Bsb9mJSWt60I+osFI0jrrYFHE3hsmBhAGeJiSDW2d199Q0z8JtaYX+AplDYZ9UAzhITQQHj1lnJnbImvKCNjQBG29wKUyAsWJh9Fl9/Djedf3xSul+nrAkvaGMjsLkVpnBYsDAJgjpbbcOkzPMLzMbkKwsWJrThP3026iwUnPlrtvim33T+8TYKyhQUCxYmybDa3r7pzbvacpyTwnfXS+8mpQ0Z0MsChSk4FixMkllXnUG1d5aeyzZG6pwFa5NrFrd+fXgEOTGme2ydAeNr6Q3nMrRhRtKKjXfOXhm4aU+MAKsaxzG68XnWN+9mUE3PLi+9fdINs2ja3ooA5w0/lIs/Xc/X7vg7HUBVuXRqn44obNudWBurLBfbBc8UJCnWFUZHjhyp8+bNizobBa1x5tK0gaGrxg8/lNsmnJDymligSGdYbe+8nWXuXf69R0UZy244N8IcGZOaiMxX1ZHedKtZmEANY4/OWrB4YuEGnliYmcWDlzftYNjUmVw6eigNY/NrnaW+PSvYExfw+va0PzlTmOyTa1Kqq+mZcp5AvtjboUlNZKcPGxj5PIbaPj0S5qnU9ukRYW6M6Trr4DYpzWk4q2D3hZ69fDP1DTOob5gRuOd1tu1t70h5bEyhsJqFSSts5/S0uWuZ+viiLOema1rblaENM1gVch/yTCn3bGheaVvWmgJlwcJkzEWjBqedP3DE1f4L6uWCkjgTPRfNVFt37E04tpqFKVR2m2Ny6t2bx7G6cf/DOwGwprqCmhA7x2ViqYzZyzcz8Z653X6dIPPXbOH9lj0JaQN6V2Xt/YzJJqtZmEgFDXkd/tNnad7VhgBH1vbet69GRRmsuGl/U9KPnljUrZrK7OWbu/7kNH7+dPIExiMP7pu19zMmm2yehSlKR06d4bv7XyqZXq/Jr8nt0StOtUl5Jq/ZPAtTUuJrH2H7SaY+vojXVn2YdrJgGFOmL/B9TwsUplBZsDBF792bncDht3yJ1xMLN/Dyis28fu2YhPRYs1i88cMPBeDZJe8jQM+qCi4YUUfD2KMzNuHQmHwRSTOUiKwGWoB2oE1VR4rIAODPQD2wGrhAVbe4118NXOpe/++qmnatbGuGMqmk25+jXPYHmc7u5SECfn9WZcDKHA/dNaazgpqhohwNdaaqDo/LVAPwvKoOA553jxGRY4AJwLHAOcDvRCR4w2hjQlid5ku7XeHj18zs0qZPQfdfk08/vNOvZUy+yKehs+cBD7i/PwCMj0ufrqp7VHUVsAI4OYL8mSITG74bpDWDE0IG9KrMu3WrjOmMqIKFAs+JyHwRmeymHayqGwHcnwe56YOA9+Keu85NSyIik0VknojMa2pqylLWTbFJV8vIhN9fclLW38OYbIoqWJymqicC5wLfFpHTU1wrPmm+t3yqereqjlTVkbW1tZnIpykR2Q4YNgrKFLpIgoWqbnB/fgA8jtOstElEDgFwf37gXr4OOCzu6XWADTUxGZcuYFSUkTD7PMxMc4Ae5X73O8YUlpwHCxHpLSJ9Y78DXwAWA08Bl7iXXQI86f7+FDBBRHqIyFBgGPBabnNtSsXqxnH47ShbV9MzYe4GwMLrzt4XOB694lSO/pj/7Oxpkz+djawak1M5HzorIofj1CbAmecxTVVvFJEDgUeAwcBa4Guq+pH7nGuASUAbMEVVn073PjZ01kRlzC0vsqJpBwN6V3L3xJOsCcoUlKChs7bchzHGmH3ycZ6FMcaYAmHBwhhjTFoWLIwxxqRlwcIYY0xaFiyMMcakZcHCGGNMWkU7dFZEmoA1Eb39QCB7+3WaIFbuuWdlHo1slvsQVU1aL6log0WURGSe3zhlk11W7rlnZR6NKMrdmqGMMcakZcHCGGNMWhYssuPuqDNQoqzcc8/KPBo5L3frszDGGJOW1SyMMcakZcHCGGNMWhYsukFEbAu0HBKRyqjzUKrss557+fZ5t2DRSSLSR0S+KyJHAD3dNPtDyiK3zH8FnC8i5VHnp1TYZz0a+fp5t2DRCSJyJjAP+CzwA+DnAGqjBLJGRP4VeBVnV8UZqtoecZZKgn3Wo5HPn3cLFp0zCJiuql8FfgScJiKXAuTTHUCxEJGjgPOAR1V1iqruEJGquPN2l5s99lnPMRH5BHn8ebdgkYKI1Mf+QFzHANsBVPUDnDuun7nHeXMHUMjcMv9XAFVdBswEdovIV0TkDuBnInKxe97ucjNERIaJyM1xSZ/APutZF1/uqvoP4C/k6efdgkVqdwDXi8g/uccvA5fHTqrq88DrInItRB/5i8QdwE/jyvyvwJHAL4B3gLeBCSIyFUBE7DPcDSJSISI3Ag8Bu+NO/Q37rGdNinJ/jjz9vNukPB8iUq6q7SLyM6Ad+CQwUVW3i8jfgBdV9UfutecBY4D/UNW90eW6sKUp89OA91R1rXvtGOA7wNdVdXfwq5p0ROQnOEGh3luWIvIiMEdVYwHCPusZkqbcRwHvq+oa9zgvPu92V+Yjrpp9PPA6sAH4pps2CZgoIqe7x0cB6+2Pp3sCyvwS99zLsUDh+hTwmgWKrourGdwONAP9ReTTIvJjEbnAPTcJuNg+65mTpty/KiLVqjo3FihcefF5t2ARJ9ZxJyJVIlIBrAReBP4IjBeRPwAfAD8FLhSR2cA/43y5mS5IU+ZfFpG7RORo95pj3f+Dr+I0CZquKxMRUdXNOGX9Ds6Ipy3AFLeG9x5O5/ZF9lnPmFTlfiXwAxEZAiAix+fT570i6gxESUS+BfwdWKOq22N3t6ra6p4fABwKfAk4CeihqltF5D5gGvA5VZ0ZTe4LUxfKvEJVl7pttVcAq1T1X6PJfeHyK/fYXa6q3igi24G7VXWXiLwC/CdwlKo+KCKPYJ/1LulCuV8F1IjIWuAy8ujzXpI1CxE5WUTeBM4GJgC3xZ27X0Q+IyL9gL04EX0YcBGwTUQ+o47d9scTXjfKfIeIfFZVO4ArVfXGCLJfsFKVO3CfiHwWQFX/W1V3ub/PAwYAHe6xfdY7qRvlPhDocEc+5dXnvSQ7uEVkMlClqre7TR/PAX9T1etE5GOq+r573TeAZe5/IiLyz8BcVV0eWeYLVDfL/DVVfSeyzBewNOV+sKpu8lz/GZxhstuBy1V1a+5zXfi6We5XqGpz7nOdWknULERkgIj8XPZPcDkdZ9IRqtoGLAW+F/vSirWjq+pDcV9aZar6JwsU4WS4zC1QhNTJcvd+YY0CfgM8pqoXWqAIL8PlnneBAkqgZiEiVwFfw1m64EpVbRWRY3E6Uf8dGAz0B4YAH6rqd9znXQo8raobIsl4AbMyj0Ymyl3cIcyR/AMKVKmUe1F3cLtNGjcDw+LGLIuqLnGriUfijOe/2v39TBGpcO8EWoE29/rijqgZZGUejQyWe15/YeWbUir3UqhZLMAZRbMJ+BecoWp/8VaxRaQBaFXVW3OeySJjZR4NK/dolEq5F02fhcRNgxeRsrjjm4EXgOlAC87kuh+JyKfcaw8TkTuBidgY8k6xMo+GlXs0Sr3ci6IZSkS+C/QVkdtVdZs7zDJWHXxERA7C6TzaICKPAT8GDnafPgLYCIxS1ZZI/gEFyMo8Glbu0bByB1S1YB/AKJy13x8HjvOcuxFnbSG/5z0GfMH9vTzqf0chPazMrdxL6WHlvv9RkDULd5il4kzaWq+qX3HTe6nqTveyX6nqFs/zjsOZmXoAzmqOaAF0LOUDK/NoWLlHw8o9WUF1cIszuaUR6AH8CeiHE/lX4CxyNhh4Bfg/VV3pjtOPVRePwFmi41FV/UUU+S9EVubRsHKPhpV7sIIJFiIiwG9x/vOeBS7EmRVZC3wRp6r4LHAWMERVv+g+73yc5a3nee4KTBpW5tGwco+GlXtqhdQM1RcYDpytqi0i8iFwGs5aQl9Td5aviLwAPCoix6nqYpyq5A6AYv1PzCIr82hYuUfDyj2Fghk6q6rbgNU445jB2clrOc7CW/EjDI4G1uNMr0dVn1DVpTnLaBGxMo+GlXs0rNxTK5hg4XocGC4ih6gzBO0tnFmQB4tIrYhcg7Mt5+vF0qmUB6zMo2HlHg0r9wCFFizmAB/iRn5VfQM4GSgHzgXqgS+q6q8jyl8xsjKPhpV7NKzcAxRSnwWqulFEngAaRWQFzmzIve7jj6r6YKQZLEJW5tGwco+GlXuwghkNFU9EzsVZ5fFU4HZVvT3iLBU9K/NoWLlHw8o9WUEGCwARqQRUndUbTQ5YmUfDyj0aVu6JCjZYGGOMyZ1C6+A2xhgTAQsWxhhj0rJgYYwxJi0LFsYYY9KyYGGMMSYtCxYm74lIu4gsjHs0uOkvisjICPJzv4h8NeDclSLyDxFZJCJvisit7hBMRGR1XPpzIvIxN32Sm/6WiCwWkfNy+e8JK6ryNvmhoGZwm5K1S1WHR52JdETkcuALwCmq2iwiVcCVQDXODGCAM1V1s4jcBEwVkV8A1wAnqupWEemDsyS2MXnFahamKIjIHSIyT0SWiMhP49JXi8jPReQ193Gkm/419y7+TRGZ7aaVi8gvReR19y7/MjddROR2EXlbRGYABwVk4xrgClVtBlDVVlVtdFcz9ZoNHOm+Vguw3X3OdlVd5fPvC51f99wP4moxjW7acBF51b32cRHp76a/GFdG74jIZ9z0ahGZ7l7/Z5ygF3vf+938LBKR/wj532QKmNUsTCGoFpGFccc3q+qfPddco6ofibMd5vMi8klVfcs9t01VTxaRicBtOBvZ/Bhn34L1IlLjXncpsFVVTxKRHsDLIvIccALOLmnHAwfjbJd5b/ybi0hfoI/fF32ALwKLgDeBTcAqEXkeeExV/9fn+s7k9xPAeGCUqu4UkQHu9Q8C31XVl0TkeuA6YIp7rsIto7Fu+ueBK4CdqvpJEfkk8IZ77XBgkKoe5/7bY/kxRcxqFqYQ7FLV4XEPb6AAuEBE3gAWAMcCx8Sdezju56fd318G7heRb+GsKApOE9JENzDNBQ4EhgGnAw+raruqbgD+z+f9BWcTHOdA5Gy3f2W1iJwad90L7uv3wwl67cA5wFeBd4D/EpGf+Lx+Z/L7eeC+2EY8bhA9AKhR1Zfc5z7g/rtiHnN/zsdZWRX3/J/c13gLZ7lugJXA4SLyGxE5B/CrOZkiYzULU/BEZCjwfeAkVd0iIvcDPeMuUe/vqnq5iIwCxgELRWQ4zhf+d1X1Wc/rj/W8RhJV3SYiO0RkqKqucl/jWRH5C1AVd+mZqrrZ81wFXgNeE5FZwH3ATzzXdCa/56TLr4897s92Er8Xkl7HLeNPAWcD3wYuACZ18v1MgbGahSkG/XC2tdwqIgfj7DsQ7+txP18BEJEjVHWuqv4Y2AwchrO/8hVxo5c+LiK9cfoXJrht9YcAZwbk42bgjlizjIgIiUEriYgcKiInxiUNB9b4XNeZ/D4HTBKRXm76AFXdCmyJ9UcAFwMved/HYzbwDfc1jgM+6f4+EChT1UeBHwEnBr6CKRpWszCFwNtn8YyqNsQOVPVNEVkALMFpInnZ8/weIjIX5+boQjftlyIyDOfu/HmcvoO3cJpg3nC/6Jtw2v4fBz6H08fwDsFfsncAvYC5IrIHp9P6ZZymsSCVwK9E5FBgt/uel/tcFzq/qvqMW/OYJyKtwExgKnAJcKcbRFYC30yRr9i/5z4ReQtYiFP7ARjkpsduNq9O8zqmCNiqs6aoichqYKS36ccY0znWDGWMMSYtq1kYY4xJy2oWxhhj0rJgYYwxJi0LFsYYY9KyYGGMMSYtCxbGGGPS+v8h9SCxrI8dBgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot land ice height. notice how xarray decoded the time stamps on the fly, along with other metadata.\n",
    "ds['h_li'].plot(marker='.');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### open and plot the first three files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for blob in hf5_files_blobs[0:3]:\n",
    "    ds = xr.open_dataset(da.open(blob[1]),group='/gt3r/land_ice_segments')\n",
    "    plt.figure()\n",
    "    ds['h_li'].plot(marker='.', linestyle='none')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or on a single plot\n",
    "for blob in hf5_files_blobs[0:3]:\n",
    "    ds = xr.open_dataset(da.open(blob[1]),group='/gt3r/land_ice_segments')\n",
    "#     plt.figure()\n",
    "    ds['h_li'].plot(marker='.', linestyle='none');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### use xr.open_mfdataset() to plot the first ten files urls in the list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset([da.open(blob[1]) for blob in hf5_files_blobs[0:10]],group='/gt3r/land_ice_segments')\n",
    "ds['h_li'].plot(marker='.', linestyle='none');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bonus: \n",
    "GDAL, unlike the [engines](http://xarray.pydata.org/en/stable/generated/xarray.open_dataset.html) running under the hood of xarray used to open hdf5 files, can read a file directly from url. Here I am pointing GDAL directly at a url for a .tif file hosted on google drive. GDAL knows what to do from there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!conda install gdal --yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from osgeo import gdal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://drive.google.com/uc?export=download&id=1GkRzTAFORZXbzUcP9vwCM02h9xTSw6ah'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_url = 'https://drive.google.com/uc?export=download&id='\n",
    "blob_id = '1GkRzTAFORZXbzUcP9vwCM02h9xTSw6ah'\n",
    "url = base_url + blob_id\n",
    "url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0, ...,   0,   0,   0],\n",
       "       [152, 149, 161, ...,  73,  70,  64],\n",
       "       [142, 140, 149, ...,  69,  69,  64],\n",
       "       ...,\n",
       "       [ 14,  11,   1, ...,  22,  19,  13],\n",
       "       [ 11,  17,  11, ...,   4,   7,  13],\n",
       "       [ 14,  14,   8, ...,   1,  10,  19]], dtype=uint8)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = gdal.Open(url)\n",
    "img.ReadAsArray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that you could still use driveanon here to point to a google drive folder containing tif files, then build the urls and iterate over tif files that way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 0 ... 0 0 0]\n",
      "[0 0 0 ... 0 0 0]\n"
     ]
    }
   ],
   "source": [
    "tif_file_names, tif_blobs = da.list_blobs('16MX68cYJmwbWZ1lswt0ugQGu6qj7FSH7' ,extension='.tif')\n",
    "\n",
    "for blob_id in tif_blobs:\n",
    "    url = base_url + blob_id\n",
    "    img = gdal.Open(url)\n",
    "    print(img.ReadAsArray()[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Xarray engines to open hdf5 files don't seem to have this capability built in yet, which is why we had to use driveanon to stream in the data to xarray. However looks like some folks working on the [h5pyd](https://github.com/HDFGroup/h5pyd) engine are attempting to make this work, which xarray should inherit. You can try out different engines with xarray as follows: `xr.open_dataset(url, engine='h5netcdf')`. I gave this a shot, after install h5pyd (along with testing the other engines), but ran into an error not worth hunting down since driveanon (using requests and io) is likely a similar implementation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
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